Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation

Saved in:
Bibliographic Details
Published in:ArXiv cs.IR Recent Papers
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864583773358653444
collection WordPress RSS
FRELIP Feed Integration
container_title ArXiv cs.IR Recent Papers
description
discipline_display Library & Information Science
discipline_facet Library & Information Science
format Online Article
RSS Article
genre Journal Article
id rss_article:50072
institution FRELIP
journal_source_facet ArXiv cs.IR Recent Papers
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
sub_discipline_display Library Science
sub_discipline_facet Library Science
subject_display ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
subject_facet ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
title Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
title_auth Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
title_full Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
title_fullStr Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
title_full_unstemmed Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
title_short Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
title_sort beyond static best-of-n: bayesian list-wise alignment for llm-based recommendation
topic ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
url https://arxiv.org/abs/2605.04559v1